Research Scientist, Gen AI & User Representation Learning

About the role

Research scientist role in user representation and generative AI, including contrastive/self-supervised learning, semantic retrieval, vector search, and production deployment; accepts PhD candidates near completion.

Requirements

• PhD completed or near completion in CS, ML, AI, statistics, or related field, or equivalent industrial research experience
• Strong foundation in deep learning, representation learning, transformers, generative AI, contrastive/self-supervised learning, embeddings, retrieval, or semantic search
• Python and PyTorch or JAX
• Large-scale data processing, model experimentation, and end-to-end ML systems
• GPU and distributed training experience
• Five years of industrial or applied research preferred

What you'll do

• Research user representation learning, semantic embeddings, and foundation models
• Develop and deploy transformer-based generative AI systems
• Build scalable contrastive, self-supervised, and retrieval architectures
• Develop embedding models, vector databases, and semantic search
• Design evaluation pipelines and deploy production-quality models

Where this was posted

• LinkedIn

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